Triple
T13356234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bolaang Mongondow Regency |
E318698
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object |
Kotamobagu
Kotamobagu is a city in North Sulawesi, Indonesia, known as an administrative and economic center in the Bolaang Mongondow region.
|
E1037544
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kotamobagu | Statement: [Bolaang Mongondow Regency, borderedBy, Kotamobagu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kotamobagu Context triple: [Bolaang Mongondow Regency, borderedBy, Kotamobagu]
-
A.
Salatiga
Salatiga is a small city in Central Java, Indonesia, known for its cool climate, educational institutions, and location between Mount Merbabu and Mount Telomoyo.
-
B.
Citeureup
Citeureup is a district in West Java, Indonesia, known as one of the industrial and residential areas within the Bogor metropolitan region.
-
C.
Blora
Blora is a regency-level town in Indonesia known for its teak forests and cultural heritage, located in the eastern part of Central Java.
-
D.
Palopo
Palopo is a coastal city in Indonesia known as an important regional center in the province of South Sulawesi.
-
E.
Kudus
Kudus is a historic city in Indonesia known for its Islamic heritage, traditional kretek cigarette industry, and distinctive Javanese architecture.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kotamobagu Triple: [Bolaang Mongondow Regency, borderedBy, Kotamobagu]
Generated description
Kotamobagu is a city in North Sulawesi, Indonesia, known as an administrative and economic center in the Bolaang Mongondow region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kotamobagu Target entity description: Kotamobagu is a city in North Sulawesi, Indonesia, known as an administrative and economic center in the Bolaang Mongondow region.
-
A.
Salatiga
Salatiga is a small city in Central Java, Indonesia, known for its cool climate, educational institutions, and location between Mount Merbabu and Mount Telomoyo.
-
B.
Citeureup
Citeureup is a district in West Java, Indonesia, known as one of the industrial and residential areas within the Bogor metropolitan region.
-
C.
Blora
Blora is a regency-level town in Indonesia known for its teak forests and cultural heritage, located in the eastern part of Central Java.
-
D.
Palopo
Palopo is a coastal city in Indonesia known as an important regional center in the province of South Sulawesi.
-
E.
Kudus
Kudus is a historic city in Indonesia known for its Islamic heritage, traditional kretek cigarette industry, and distinctive Javanese architecture.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadcd4cb008190af99c4856e76ac08 |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f72675c87c8190b26991b55092c444 |
completed | May 3, 2026, 10:41 a.m. |
| NEDg | Description generation | batch_69f727512c94819091985c7942f40b31 |
completed | May 3, 2026, 10:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f72b77d650819092c02f6488b2cfb2 |
completed | May 3, 2026, 11:03 a.m. |
Created at: April 9, 2026, 9:32 p.m.